Erratum: MicroRNA-146a directs the symmetric division of Snail-dominant colorectal cancer stem cells

Hwang, Wei–Lun; Jiang, Jeng-Kae; Yang, Shung‐Haur; Huang, Tse‐Shun; Lan, Hsin–Yi; Teng, Hao–Wei; Yang, Chih‐Yung; Tsai, Ya-Ping; Lin, Cheng Huang; Wang, Hsei‐Wei; Yang, Muh‐Hwa

doi:10.1038/ncb2951

Cited by 3 publications

(3 citation statements)

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“…Additionally, microRNAs associated with self-renewal and differentiation play a relevant role in cancer. They generally sustain activation of the Notch/Wnt signaling pathway or suppress the expression of differentiation-related transcription factors (Bu et al 2013a ; Hwang et al 2014 ; Mukherjee et al 2015 ). Furthermore, defects in AKT, TP53, and EGFR signaling can disrupt the balance between asymmetry and symmetry, leading to neoplastic transformation (Bu et al 2013b ; Mukherjee et al 2015 ).…”

Section: Discussionmentioning

confidence: 99%

“…Remarkably, long non-coding RNA, Lnc34a, is enriched in colon cancer stem cells and initiates asymmetric division by directly targeting the microRNA miR-34a to cause its spatial imbalance (Wang et al 2016 ). In other studies, miR-146a was found to activate WNT signaling and induce a switch from asymmetric to symmetrical division by targeting Numb in spheroid-derived colorectal cancer stem cells (Hwang et al 2014 ). In breast cancer, The Myc signaling pathway is essential for stem cell maintenance and is predominantly expressed in stem cells, not in differentiated cells, during asymmetric cell division.…”

Section: Asymmetric Division In Cancer Initiationmentioning

confidence: 93%

“…Similarly, Let-7 also localizes in differentiated daughter cells (Esquela-Kerscher and Slack 2006 ). While miR-146a localizes in stem cell and drives it self-renewal (Hwang et al 2014 ; Lerner and Petritsch 2014 ). A recent study shows that LincGET is transiently and asymmetrically expressed in the nucleus of late two-cell blastomere stage of mouse embryos (Fig.…”

Section: Mechanisms Of Asymmetric Cell Divisionmentioning

confidence: 99%

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Asymmetric division of stem cells and its cancer relevance

Chao,

Yan,

2024

Cell Regen

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Asymmetric division is a fundamental process for generating cell diversity and maintaining the stem cell population. During asymmetric division, proteins, organelles, and even RNA are distributed unequally between the two daughter cells, determining their distinct cell fates. The mechanisms orchestrating this process are extremely complex. Dysregulation of asymmetric division can potentially trigger cancer progression. Cancer stem cells, in particular, undergo asymmetric division, leading to intra-tumoral heterogeneity, which contributes to treatment refractoriness. In this review, we delve into the cellular and molecular mechanisms that govern asymmetric division and explore its relevance to tumorigenesis.

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Section: Discussionmentioning

confidence: 99%

Section: Asymmetric Division In Cancer Initiationmentioning

confidence: 93%

Section: Mechanisms Of Asymmetric Cell Divisionmentioning

confidence: 99%

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Asymmetric division of stem cells and its cancer relevance

Chao,

Yan,

2024

Cell Regen

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Targeting intratumor heterogeneity suppresses colorectal cancer chemoresistance and metastasis

et al. 2023

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Intratumor heterogeneity (ITH) is a barrier to effective therapy. However, it is largely unknown how ITH is established at the onset of tumor progression, such as in colorectal cancer (CRC). Here, we integrate single‐cell RNA‐seq and functional validation to show that asymmetric division of CRC stem‐like cells (CCSC) is critical for early ITH establishment. We find that CCSC‐derived xenografts contain seven cell subtypes, including CCSCs, that dynamically change during CRC xenograft progression. Furthermore, three of the subtypes are generated by asymmetric division of CCSCs. They are functionally distinct and appear at the early stage of xenografts. In particular, we identify a chemoresistant and an invasive subtype, and investigate the regulators that control their generation. Finally, we show that targeting the regulators influences cell subtype composition and CRC progression. Our findings demonstrate that asymmetric division of CCSCs contributes to the early establishment of ITH. Targeting asymmetric division may alter ITH and benefit CRC therapy.

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Predicting MicroRNA Biomarkers for Cancer Using Phylogenetic Tree and Microarray Analysis

Wang

2016

IJMS

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MicroRNAs (miRNAs) are shown to be involved in the initiation and progression of cancers in the literature, and the expression of miRNAs is used as an important cancer prognostic tool. The aim of this study is to predict high-confidence miRNA biomarkers for cancer. We adopt a method that combines miRNA phylogenetic structure and miRNA microarray data analysis to discover high-confidence miRNA biomarkers for colon, prostate, pancreatic, lung, breast, bladder and kidney cancers. There are 53 miRNAs selected through this method that either have potential to involve a single cancer’s development or to involve several cancers’ development. These miRNAs can be used as high-confidence miRNA biomarkers of these seven investigated cancers for further experiment validation. miR-17, miR-20, miR-106a, miR-106b, miR-92, miR-25, miR-16, miR-195 and miR-143 are selected to involve a single cancer’s development in these seven cancers. They have the potential to be useful miRNA biomarkers when the result can be confirmed by experiments.

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Erratum: MicroRNA-146a directs the symmetric division of Snail-dominant colorectal cancer stem cells

Abstract: In the version of this Article originally published, the labels of the key in the upper panel of Fig. 7h should have read 'HT29-Vec' (black) and 'HT29-146a' (grey). This error has now been corrected in the online versions of the Article.

Cited by 3 publications

References 1 publication

Asymmetric division of stem cells and its cancer relevance

Asymmetric division of stem cells and its cancer relevance

Targeting intratumor heterogeneity suppresses colorectal cancer chemoresistance and metastasis

Predicting MicroRNA Biomarkers for Cancer Using Phylogenetic Tree and Microarray Analysis

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